Jeffrey L. Furman

LOCATION AND ORGANIZING STRATEGY: EXPLORING THE INFLUENCE OF LOCATION ON THE ORGANIZATION OF PHARMACEUTICAL RESEARCH

The origin and nature of meaningful, persistent firm-specific differences is a central issue in the study of business strategy. I investigate in this paper the role of characteristics physically external to firms, but embodied in their local geographic areas, in driving differences in firms’ organizing strategies. Specifically, I examine the extent to which location-specific characteristics affect the organization of pharmaceutical firms’ research laboratories bringing both qualitative and quantitative evidence to bear on this issue. Analyses of the histories of several late 19th century drug makers suggest that differences in local institutions, labor markets, and demand structures played important roles in affecting case firms’ strategic evolution. For example, while Mulford (Philadelphia PA) exploited the strength of nearby universities and the city’s public health system in organizing around leading-edge capabilities in bacteriology, Sterling (Wheeling WV) found that its local environment rewarded investments in marketing and distribution. Panel data analysis on a sample of firms from the late 20th century provides complementary evidence, demonstrating that the scientific orientation of modern drug discovery laboratories is positively and significantly correlated with measures of the strength of the local scientific and technical base. Together, these analyses suggest that location-specific characteristics may be important in driving firm heterogeneity and, ultimately, competitive advantage.

More for the research dollar

Funders and universities should make the products of research more available — even if todays researchers pay a price, say Jeffrey L. Furman, Fiona Murray and Scott Stern.

Firm Performance and State Innovation Funding: Evidence from China's Innofund Program

Can firms leverage public entrepreneurship investments to improve innovation and financial performance? Analysis of this question is frustrated by the difficulty of distinguishing treatment from selection effects. We take advantage of internal administrative data on applications to China’s Innofund program in order (a) to identify which application features are associated with higher chances of obtaining grants and (b) to evaluate the causal impact of receiving a grant on firm performance using a regression discontinuity (RD) design. With regards to grant receipt, we find that firms possessing observable merits and political connections are more likely to receive Innofund grants. We also find evidence of bureaucratic intervention, as applicants’ evaluation scores are non-randomly missing and that some firms whose scores did not meet funding standards nonetheless received grants. With regards to post-grant performance, we find that firms receiving high project evaluation scores and Innofund grants perform better than those that do not receive grants and have lower scores. These do not appear to be causal effects, however. Applying Fuzzy RD methods, we find no evidence that receiving an Innofund grant boosts survival, patenting, or venture funding. Our analysis demonstrates the value of administrative data for causal analysis and for uncovering evidence regarding the possibility that bureaucratic intervention affects firm and program outcomes.